Delhi, India
Software Engineer with experience building scalable backend systems, distributed microservices at Adobe and Walmart. Worked on high-impact systems supporting millions of daily transactions and thousands of enterprise workflows, with a strong focus on performance optimization, reliability, and end-to-end ownership. Skilled in Java, Python, Spring Boot, PostgreSQL, MongoDB, and cloud-native technologies, with hands-on experience in observability, system design, and process automation. Passionate about solving complex engineering problems and building efficient, scalable products.
i) Resolved a critical Jira runtime bug that overrode ticket labels, restoring data integrity for 3,000+ daily tickets. ii) Automated security ticket risk-rating updates through custom Jira workflows, eliminating manual effort and adding failure alerts. iii) Engineered an exception approval system with automated approver mapping and hierarchy resolution across 16+ workflows. iv) Built company-wide security exception synchronization supporting 5,700+ active exceptions and standardized compliance handling. v) Developed a feature to detect overlapping host approvals across active exceptions, improving organization-wide risk visibility.
i) Working as a Backend Developer with Global Integrated Fulfilment (GIF) team, supporting Walmart stores in fulfilling online orders. ii) Contributed to Walmart Enterprise and Fulfilment as a Service (FAAS) projects for several micro-services within GIF. iii) Led efforts in transitioning the database infrastructure from a relational SQL database to a NoSQL Cosmos DB, leveraging its scalability and flexibility for modern applications. iv) Played a key role in the migration of applications from JDK 11 to JDK 21, ensuring compatibility with updated language features and libraries. v) Managed end-to-end feature ownership, overseeing design, development, release management, and on-call monitoring for production tasks. vi) Engaged with operations in US , Mexico and Canada ,which encompasses approximately 4,660 stores. Handled around 1 million orders during last year's annual event.
i) Developed an intelligent tool to accurately localize and extract barcodes from package invoices, automating the identification and text extraction process. ii) Integrated Google OCR for high-precision text recognition and Aspose for barcode decoding, ensuring seamless interpretation across multiple invoice formats. iii) Optimized barcode detection and text extraction workflow, increasing processing efficiency by ~40% and reducing manual intervention for logistics teams.